ArticleProceedings of the National Academy of Sciences of the United States of America2022
Temporal scaling of human scalp-recorded potentials.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Simulated field potentials capture multiple simultaneous processes underlying human temporal attention.bioRxiv : the preprint server for biology · 2026Article
- Neural Signatures of Flexible Multiple Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Regressing away common neural choice signals does not make them artifacts: Comment on Frömer et al. 2024.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Brain responses vary in duration-modeling strategies and challenges.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The neural correlates of continuous feedback processing.Psychophysiology · 2023Article
- Article
- Integrating Reward Information for Prospective Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Much of human behavior is governed by common processes that unfold over varying timescales. Standard event-related potential analysis assumes fixed-duration responses relative to experimental events. However, recent single-unit recordings in animals have revealed neural activity scales to span different durations during behaviors demanding flexible timing. Here, we employed a general linear modeling approach using a combination of fixed-duration and variable-duration regressors to unmix fixed-time and scaled-time components in human magneto-/electroencephalography (M/EEG) data. We use this to reveal consistent temporal scaling of human scalp-recorded potentials across four independent electroencephalogram (EEG) datasets, including interval perception, production, prediction, and value-based decision making. Between-trial variation in the temporally scaled response predicts between-trial variation in subject reaction times, demonstrating the relevance of this temporally scaled signal for temporal variation in behavior. Our results provide a general approach for studying flexibly timed behavior in the human brain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.